A Fuzzy-Based Approach for the Assessment of the Edge Layer Processing Capability in SDN-VANETs: A Comparation Study of Testbed and Simulation System Results
Vehicular Ad Hoc Networks (VANETs) have gained significant attention due to their potential to enhance road safety, traffic efficiency, and passenger comfort through vehicle-to-vehicle and vehicle-to-infrastructure communication. However, VANETs face resource management challenges due to the dynamic...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Vehicles |
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| Online Access: | https://www.mdpi.com/2624-8921/5/3/59 |
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| author | Ermioni Qafzezi Kevin Bylykbashi Shunya Higashi Phudit Ampririt Keita Matsuo Leonard Barolli |
| author_facet | Ermioni Qafzezi Kevin Bylykbashi Shunya Higashi Phudit Ampririt Keita Matsuo Leonard Barolli |
| author_sort | Ermioni Qafzezi |
| collection | DOAJ |
| description | Vehicular Ad Hoc Networks (VANETs) have gained significant attention due to their potential to enhance road safety, traffic efficiency, and passenger comfort through vehicle-to-vehicle and vehicle-to-infrastructure communication. However, VANETs face resource management challenges due to the dynamic and resource constrained nature of vehicular environments. Integrating cloud-fog-edge computing and Software-Defined Networking (SDN) with VANETs can harness the computational capabilities and resources available at different tiers to efficiently process and manage vehicular data. In this work, we used this paradigm and proposed an intelligent approach based on Fuzzy Logic (FL) to evaluate the processing and storage capability of vehicles for helping other vehicles in need of additional resources. The effectiveness of the proposed system is evaluated through extensive simulations and a testbed. Performance analysis between the simulation results and the testbed offers a comprehensive understanding of the proposed system and its performance and feasibility. |
| first_indexed | 2024-03-10T21:52:08Z |
| format | Article |
| id | doaj.art-08ed599b55414ca9bb8479f231fa653d |
| institution | Directory Open Access Journal |
| issn | 2624-8921 |
| language | English |
| last_indexed | 2024-03-10T21:52:08Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vehicles |
| spelling | doaj.art-08ed599b55414ca9bb8479f231fa653d2023-11-19T13:20:15ZengMDPI AGVehicles2624-89212023-09-01531087110310.3390/vehicles5030059A Fuzzy-Based Approach for the Assessment of the Edge Layer Processing Capability in SDN-VANETs: A Comparation Study of Testbed and Simulation System ResultsErmioni Qafzezi0Kevin Bylykbashi1Shunya Higashi2Phudit Ampririt3Keita Matsuo4Leonard Barolli5Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, JapanDepartment of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, JapanGraduate School of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, JapanGraduate School of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, JapanDepartment of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, JapanDepartment of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, JapanVehicular Ad Hoc Networks (VANETs) have gained significant attention due to their potential to enhance road safety, traffic efficiency, and passenger comfort through vehicle-to-vehicle and vehicle-to-infrastructure communication. However, VANETs face resource management challenges due to the dynamic and resource constrained nature of vehicular environments. Integrating cloud-fog-edge computing and Software-Defined Networking (SDN) with VANETs can harness the computational capabilities and resources available at different tiers to efficiently process and manage vehicular data. In this work, we used this paradigm and proposed an intelligent approach based on Fuzzy Logic (FL) to evaluate the processing and storage capability of vehicles for helping other vehicles in need of additional resources. The effectiveness of the proposed system is evaluated through extensive simulations and a testbed. Performance analysis between the simulation results and the testbed offers a comprehensive understanding of the proposed system and its performance and feasibility.https://www.mdpi.com/2624-8921/5/3/59connected vehiclesfuzzy logicresource managementedge computingVANETs |
| spellingShingle | Ermioni Qafzezi Kevin Bylykbashi Shunya Higashi Phudit Ampririt Keita Matsuo Leonard Barolli A Fuzzy-Based Approach for the Assessment of the Edge Layer Processing Capability in SDN-VANETs: A Comparation Study of Testbed and Simulation System Results Vehicles connected vehicles fuzzy logic resource management edge computing VANETs |
| title | A Fuzzy-Based Approach for the Assessment of the Edge Layer Processing Capability in SDN-VANETs: A Comparation Study of Testbed and Simulation System Results |
| title_full | A Fuzzy-Based Approach for the Assessment of the Edge Layer Processing Capability in SDN-VANETs: A Comparation Study of Testbed and Simulation System Results |
| title_fullStr | A Fuzzy-Based Approach for the Assessment of the Edge Layer Processing Capability in SDN-VANETs: A Comparation Study of Testbed and Simulation System Results |
| title_full_unstemmed | A Fuzzy-Based Approach for the Assessment of the Edge Layer Processing Capability in SDN-VANETs: A Comparation Study of Testbed and Simulation System Results |
| title_short | A Fuzzy-Based Approach for the Assessment of the Edge Layer Processing Capability in SDN-VANETs: A Comparation Study of Testbed and Simulation System Results |
| title_sort | fuzzy based approach for the assessment of the edge layer processing capability in sdn vanets a comparation study of testbed and simulation system results |
| topic | connected vehicles fuzzy logic resource management edge computing VANETs |
| url | https://www.mdpi.com/2624-8921/5/3/59 |
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